Mathematical Biology | Mathematics for Human Health
| Data Knowledge
| Care and Ageing | Big Data 
Epidemiology |


 |   Machine Learning
Evolution & Genetics |    


One of the main strategies developed by CMA is to promote Interdisciplinarity with several areas of the scientific knowledge.
A number of researchers of CMA, from different research groups, have directed their expertise on distinct mathematical subjects to address issues in biological, health and data research areas. CMA congregates the work on these topics as a strategic endeavor, and a fundamental step to:

  1. Allign with NOVA University strategy (e.g. NOVA Health);
  2. Promote collaborations with other departments of the Faculty (departments of Computer Science, Life Sciences, Earth Sciences, and Environmental Engineer);
  3. Disseminate knowledge collaborating on thematic Master and PhD programmes;
  4. Develop innovative solutions, with mathematical tools, to address problems in these areas.